Artificial intelligence (AI) has the potential to redefine companies and the way they work. Whereas AI used to be used to selectively improve business processes, companies are now considering how they can integrate (generative) AI as a central element of their business strategy. With watsonx, IBM provides an AI and data platform that is specially designed for companies. IBM watsonx helps them to develop applications and open up new opportunities. It comprises three core components and various AI assistants.
The three main components include:
1. IBM watsonx.ai.
The Enterprise Studio comprises generative AI functions based on foundation models and machine learning (ML). Foundation models are basic AI models that companies can use as the basis for their own applications. Thanks to user-friendly tools, the models can be easily trained, validated, optimised and deployed using the company's own data.
2. IBM watsonx.data.
This open and regulated hybrid data storage is based on an open lakehouse architecture and is designed for easy management of data sources. Companies can scale analytics and AI workloads for their data regardless of location.
3. IBM watsonx.governance.
The governance component enables companies to easily control, monitor and manage generative AI models - regardless of whether the applications are deployed on-prem or in the cloud.
In addition to the main components, IBM also offers AI assistants based on watsonx. They simplify the automation of workflows and can be integrated into a variety of business and technical processes. For example, companies can integrate the watsonx Assistant, which is based on Large Language Models (LLMs), into their customer service. The sophisticated AI assistant understands human conversations and thus ensures improved customer service.
AI and ethics at IBM.
The use of generative AI is not only associated with opportunities, but also with risks. Companies must use AI responsibly and are reliant on trustworthy systems. IBM has therefore formulated its own position on AI ethics, which comprises three core principles:
- The purpose of AI is to augment human intelligence.
- Data and findings from this data are the property of their author.
- AI systems must be transparent and explainable.
For companies to be able to introduce AI technologies responsibly, AI systems must be transparent. Employees should understand the recommendations of the algorithms and be able to evaluate the functionality of the service used.
Demystifying AI.
The potential fields of application for AI applications such as watsonx in companies are huge. The experts at Bechtle Schweiz shed light on the subject and help companies to identify potential business areas. In ideation workshops, they demystify artificial intelligence and ensure a better understanding of the business challenges. An AI workshop with Bechtle Schweiz consists of three main elements: an introductory session and two half-day workshops. Spread over a period of three weeks, companies learn about the capabilities of AI, define relevant use cases and develop proof of concepts.
With IBM watsonx and the expertise of Bechtle Schweiz, companies not only become AI users, but also AI value creators.
Here you can find more information about the AI Ideation Workshop:
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This article was written in collaboration with Netzwoche.
